1 citations · 1 across the 4 of their papers we have counts for
4 papers
Keep Policy Gradient in Charge: Sibling-Guided Credit Distillation for Long-Horizon Tool-Use Agents
Tianyu Ding, Jianhong Xin, Juan Pablo De la Cruz Weinstein
Long-horizon tool-use reinforcement learning learns from outcome verification, but trajectory-level advantages are broadcast over reasoning, API, and answer tokens. Direct self-dis…
When Retrieval Metrics Mislead: Measuring Policy Signal in Long-Horizon Tool-Use Agents
Tianyu Ding, Juan Pablo De la Cruz Weinstein
Exact-match retrieval recall is often used as a proxy for whether a retriever supplies useful policy context to a downstream decision model. We test this proxy for pre-action polic…
Do LLM Attribution Metrics Transfer? Auditing Retrieval-Augmented Generation Evaluation Across Datasets and Constructs
Tianyu Ding, Aditya Nannapaneni, Juan Pablo De la Cruz Weinstein
Practice often treats automatic metrics for attribution in LLM retrieval-augmented generation as interchangeable. We audit eight automatic scorers -- lexical, embedding, and BERTSc…
VERA: Validation and Evaluation of Retrieval-Augmented Systems
Tianyu Ding, Adi Banerjee, Laurent Mombaerts +3
The increasing use of Retrieval-Augmented Generation (RAG) systems in various applications necessitates stringent protocols to ensure RAG systems accuracy, safety, and alignment wi…